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Decoding primary forest changes in Haiti and the Dominican Republic using Landsat time series

LicenseThis is an open access article under the CC BY license.es
AuthorHong, Falu
AuthorBlair Hedges, S.
AuthorYang, Zhiqiang
AuthorWon Suh, Ji
AuthorQiu, Shi
AuthorTimyan, Joel
AuthorZhu, Zhe
Accessioned date2025-04-11T00:30:48Z
Available date2025-04-11T00:30:48Z
Year2025
CitationHong, F., Hedges, S. B., Yang, Z., Suh, J. W., Qiu, S., Timyan, J., & Zhu, Z. (2025). Decoding primary forest changes in Haiti and the Dominican Republic using Landsat time series. Remote Sensing of Environment, 318, 114590. Recuperado de:es
URIhttps://bvearmb.do/handle/123456789/6061
AbstractHighlights: Rapid primary forest loss in Hispaniola was observed using Landsat time series. Disturbance and resilience were considered in classifying primary forest. We compared the primary forest changes between Haiti and the Dominican Republic. Fire and tree-cutting were the major drivers of primary forest loss in Hispaniola.es
LanguageEnglishes
PublishedRemote Sensing of Environment, 318, 114590es
Rights© 2025 The Authors. Published by Elsevier Inc.es
Rights URIhttp://creativecommons.org/licenses/by/4.0/es
SubjectRecursos naturales - República Dominicanaes
SubjectRecursos forestaleses
SubjectProblemas ambientaleses
TitleDecoding primary forest changes in Haiti and the Dominican Republic using Landsat time serieses
dc.identifier.doihttps://doi.org/10.1016/j.rse.2024.114590
Material typeArticlees
Type of contentScientific researches
AccessOpenes
AudienceTechnicians, professionals and scientistses


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This is an open access article under the CC BY license.
Access and downloading this document are subject to this license: This is an open access article under the CC BY license.
© 2025 The Authors. Published by Elsevier Inc.